Herramientas

14 n8n workflow skills: expression syntax, MCP tool usage, node configuration, validation and troubleshooting, Code nodes, AI Agent workflows and self-hosted n8n deployment. Meant to be used with the n8n-mcp server.

Veteran suite of CSV command-line tools: in2csv converts Excel and JSON to CSV, csvcut, csvgrep and csvsort filter and sort, csvstat computes statistics, and csvsql runs SQL directly against CSV files.

ScrapeCreators' official skills: mine public TikTok, Instagram, YouTube, Reddit and X data for viral content, customer voice in comments, competitor accounts and ad libraries, and creator vetting, with sourced reports. Needs a ScrapeCreators key (100 free credits, then pay as you go).

Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

Local neural text-to-speech engine that converts text to speech offline, with voices in dozens of languages, handy for listening materials or narrating articles and course slides. Needs Python; download a voice model before first use. The project is currently looking for maintainers.

Language and toolset for double-entry bookkeeping in text files: bean-check validates the ledger, bean-format normalizes it, and Fava or beanquery handle reports and queries. Plain-text ledgers are easy for agents to generate and keep in version control.

Veteran command-line task manager with projects, tags, priorities, due dates and custom reports, JSON export, and a rich ecosystem of hooks and extensions, well suited for agents that record and track tasks.

Docker's official CLI for building images, running and managing containers, viewing logs and pushing to registries, a foundational tool for agents setting up isolated environments. Needs a local or remote Docker Engine such as Docker Desktop.

Classic plain-text double-entry accounting CLI: entries live in a text file and it produces balance, register, budget and other reports directly, with no database or hidden state, so agents can easily read and write ledgers, reconcile and report.

Reference for pnpm 12: CLI, pnpm-workspace.yaml settings, monorepo workspaces, catalogs, overrides, patches, supply-chain settings such as build approval, task orchestration, CI setup and migration from npm, Yarn or older pnpm. Generated by Anthony Fu from the official docs.

Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.

Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.

12 LinkedIn writing skills: draft posts, comments and replies in your voice without obvious AI tone, optimize your profile and plan a week of content, with your approval before anything goes out. Also usable in Claude desktop/web (paid plans); optional Apify token to read posts, Publora to publish.

12 LinkedIn writing skills: write posts, comments and replies in your voice without AI tone, plan a week of content and rewrite your profile, waiting for your confirmation before each post. Produces copy-paste drafts by default; optional Apify (reading posts) and Publora (auto-publish) API keys.

Automatically cuts silent or static parts from video and audio based on loudness or motion, with adjustable margins and speed changes, and exports project files for Premiere, DaVinci Resolve, Final Cut Pro and other editors. The repo ships an agent skill.

draw.io's official MCP: opens XML, CSV or Mermaid diagrams generated by the agent directly in the draw.io editor, good for flowcharts and architecture diagrams. A no-install remote version can also render diagrams inline in the chat.

Turns any codebase into an interactive browser course: real code with plain-language explanations, animations, hover glossaries and scenario quizzes. Built for people who build software with AI but can't read code, and useful for intro programming classes. Needs only an agent and the repo.

Interviews you to design an agentic control loop for your codebase in control-theory terms: a set point, a sensor built from existing tooling, a controller that picks small low-risk changes, and a coding agent that opens PRs. Builds each part to run locally before wiring a scheduled CI workflow.

Turns a repeatable agent task into a repo-local skill plus a GitHub Actions workflow that runs a coding agent (Claude Code, Codex, OpenCode or CodeLayer) on a schedule, with a prompt, memory file and one-open-PR bound. Reads the repo first, then walks you through cadence, scope and validation.

Lets agents generate production-ready Lottie animations (icon motion, loaders, data animations and more) from a text description or SVG, with a local player for live preview and tweaks. Export JSON for web, apps or After Effects. Needs Node.js locally.

High-quality GIF encoder built on pngquant: turns video frames or PNG sequences into animations, using cross-frame palettes and temporal dithering for thousands of colors per frame. Can take video piped straight from ffmpeg.

GitHub's official gh extension for writing Actions workflows in Markdown that AI agents execute, compiled into standard Actions. Choose engines like Copilot, Claude Code or Codex; runs in a read-only sandbox by default. Requires gh.

Turns SRT subtitles into a hand-drawn whiteboard animation on warm paper that follows the narration, exported as MP4, pausing for approval at storyboard, line art and annotation steps. Good for lesson explainers. Needs Python; line art from an image-capable agent or your own.

Local FFmpeg video editing skill: ask in plain language to cut and join clips, remove silence, reframe to vertical, add subtitles, normalize loudness and export to TikTok, Reels or YouTube specs, fully offline with no API key. Needs ffmpeg and Python 3; also usable as an MCP.